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pro vyhledávání: '"A Roth"'
Existing math datasets evaluate the reasoning abilities of large language models (LLMs) by either using the final answer or the intermediate reasoning steps derived from static examples. However, the former approach fails to surface model's uses of s
Externí odkaz:
http://arxiv.org/abs/2410.19056
Autor:
Rowan, D. M., Thompson, Todd A., Kochanek, C. S., Causi, G. Li, Roth, J., Vaccari, P., Pedichini, F., Piazzesi, R., Antoniucci, S., Testa, V., Johnson, M. C., Crass, J., Crepp, J. R., Bechter, A., Bechter, E. B., Sands, B. L., Harris, R. J.
We report the results from a pilot study to search for black holes and other dark companions in binary systems using direct imaging with SHARK-VIS and the iLocater pathfinder "Lili" on the Large Binocular Telescope. Starting from known single-lined s
Externí odkaz:
http://arxiv.org/abs/2410.19050
In medical image visualization, path tracing of volumetric medical data like CT scans produces lifelike three-dimensional visualizations. Immersive VR displays can further enhance the understanding of complex anatomies. Going beyond the diagnostic qu
Externí odkaz:
http://arxiv.org/abs/2410.16978
We characterize two classical types of conformality of a holomorphic self-map of the unit disk at a boundary point - existence of a finite angular derivative in the sense of Carath\'eodory and the weaker property of angle preservation - in terms of t
Externí odkaz:
http://arxiv.org/abs/2410.13965
Autor:
Liu, Siyi, Ning, Qiang, Halder, Kishaloy, Xiao, Wei, Qi, Zheng, Htut, Phu Mon, Zhang, Yi, John, Neha Anna, Min, Bonan, Benajiba, Yassine, Roth, Dan
Open domain question answering systems frequently rely on information retrieved from large collections of text (such as the Web) to answer questions. However, such collections of text often contain conflicting information, and indiscriminately depend
Externí odkaz:
http://arxiv.org/abs/2410.12311
Computational text classification is a challenging task, especially for multi-dimensional social constructs. Recently, there has been increasing discussion that synthetic training data could enhance classification by offering examples of how these co
Externí odkaz:
http://arxiv.org/abs/2410.12622
Autor:
Roth, Stefan, Sezgin, Aydin
The sector of information and communication technology (ICT) can contribute to the fulfillment of the Paris agreement and the sustainable development goals (SDGs) through the introduction of sustainability strategies. For environmental sustainability
Externí odkaz:
http://arxiv.org/abs/2410.10977
Existing retrieval-based reasoning approaches for large language models (LLMs) heavily rely on the density and quality of the non-parametric knowledge source to provide domain knowledge and explicit reasoning chain. However, inclusive knowledge sourc
Externí odkaz:
http://arxiv.org/abs/2410.08475
Autor:
Terenzi, Lorenzo, Nubert, Julian, Eyschen, Pol, Roth, Pascal, Fei, Simin, Jelavic, Edo, Hutter, Marco
Construction sites are challenging environments for autonomous systems due to their unstructured nature and the presence of dynamic actors, such as workers and machinery. This work presents a comprehensive panoptic scene understanding solution design
Externí odkaz:
http://arxiv.org/abs/2410.04250
Autor:
Leemann, Tobias, Petridis, Periklis, Vietri, Giuseppe, Manousakas, Dionysis, Roth, Aaron, Aydore, Sergul
While retrieval augmented generation (RAG) has been shown to enhance factuality of large language model (LLM) outputs, LLMs still suffer from hallucination, generating incorrect or irrelevant information. One common detection strategy involves prompt
Externí odkaz:
http://arxiv.org/abs/2410.03461